Cost-Estimating Model for Rubberized Asphalt Pavement Rehabilitation Projects

Abstract

There are nearly 4,800,000 km (3,000,000 miles) of paved roads and 80,000 km (50,000 miles) of paved highways in the United States, many of which are in poor condition and approaching the end of their design life. To upgrade this valuable infrastructure, state and federal governments have advocated for rubberized asphalt concrete (RAC) technology, which would meet the current needs without compromising the ability of future generations to meet their own demands. This paper presents a cost-estimating system for rubberized asphalt road rehabilitation projects. The proposed system utilizes information collected from 44 projects and applies neural networks to perform its task. This tool is believed to be helpful in many road pavement applications, such as preparing accurate budget estimates and life-cost analyses, as well as managing financial resources in limited budget environments.